• Title/Summary/Keyword: Graph Storage

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Technology and Market Trends on High Speed Router (초고속 라우터 기술산업동향)

  • Kim Kang Hoe;Yeo Woon Dong;Yoo Jae Young;Hong Sung Hwa
    • Proceedings of the IEEK Conference
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    • 2004.06a
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    • pp.233-236
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    • 2004
  • With the internet(World Wide Web) widespread among people after 1995, Information Communication Network, which is basic structure of the internet, is rapidly changing into fiber optics communication. The information conveyed through the internet is being diversified - from simple information based on text to bulky multimedia information such as auido & video data. So the demand for higher speed, hish storage Router is on the crease. This research aims to analyze the general trend of the patent by systematical, multilateral and segmented analysis of the technology's flow and trend, the present technological position of status and the distribution map of the technology by country, technology area using chart and graph.

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Implementation of systolic array for 2-D IIR digital filters (2-D IIR digital filter에 대한 systolic array구현)

  • 김수현
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1992.06a
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    • pp.29-32
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    • 1992
  • In this paper, a systolic array structure is derived from the realization of 2-D IIR digital filters directed from the SFG(signal flow graph). After realized the 1-D formed partial systolic array, we implemented the complete systolic array to be cascaded 1-D form. The cascading of partial systolic arrays reduce the storage element which sued to delay input signal. 1-D systolic array is derived from that DG is designed through local communication approach and then it mapping to SFG. The derived structure is very simple and has high throughput because during new imput sample is supplied, new output is obtained every sampling period. And broadcast input signal is eliminated. Since the systolic array has property of regularity, modularity, local interconnection and highly synchronized multiprocessing, thus is very suitable for VLSI implementation.

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An Efficient Ordering Method and Data Structure of the Interior Point Method (Putting Emphasis on the Minimum Deficiency Ordering (내부점기법에 있어서 효율적인 순서화와 자료구조(최소부족순서화를 중심으로))

  • 박순달;김병규;성명기
    • Journal of the Korean Operations Research and Management Science Society
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    • v.21 no.3
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    • pp.63-74
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    • 1996
  • Ordering plays an important role in solving an LP problem with sparse matrix by the interior point method. Since ordering is NP-complete, we try to find an efficient method. The objective of this paper is to present an efficient heuristic ordering method for implementation of the minimum deficiency method. Both the ordering method and the data structure play important roles in implementation. First we define a new heuristic pseudo-deficiency ordering method and a data structure for the method-quotient graph and cliqued storage. Next we show an experimental result in terms of time and nonzero numbers by NETLIB problems.

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A Low Power Hardware Allocation Algorithm for Design Automation (설계 자동화를 위한 저전력 하드웨어 할당 알고리듬)

  • 최지영;인치호
    • The Journal of Information Technology
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    • v.3 no.1
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    • pp.117-124
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    • 2000
  • This paper proposes a new heuristic algorithm of a low power hardware allocation for Design Automation. The proposed algorithm works on scheduled input graph and allocates functional units, interconnections and registers by considering interdependency between operations and storage elements in each control step, in order to share registers and interconnections connected to functional units, as much as possible. The low power factor of the capacitance is reduced during the allocation. As the resource number reduce maximal . This paper shows the effectiveness of the algorithm by comparing experiments of existing system of the non low power.

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A New Ordering Method Using Elimination Trees (삭제나무를 이용한 새로운 순서화 방법)

  • Park, Chan-Kyoo;Doh, Seung-yong;Park, Soon-dal
    • Journal of Korean Institute of Industrial Engineers
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    • v.29 no.1
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    • pp.78-89
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    • 2003
  • Ordering is performed to reduce the amount of fill-ins of the Cholesky factor of a symmetric positive definite matrix. This paper proposes a new ordering algorithm that reduces the fill-ins of the Cholesky factor iteratively by elimination tree rotations and clique separators. Elimination tree rotations have been used mainly to reorder the rows of the permuted matrix for the efficiency of storage space management or parallel processing, etc. In the proposed algorithm, however, they are repeatedly performed to reduce the fill-ins of the Cholesky factor. In addition, we presents a simple method for finding a minimal node separator between arbitrary two nodes of a chordal graph. The proposed reordering procedure using clique separators enables us to obtain another order of rows of which the number of till-ins decreases strictly.

Locally weighted linear regression prefetching method for hybrid memory system (하이브리드 메모리 시스템의 지역 가중 선형회귀 프리페치 방법)

  • Tang, Qian;Kim, Jeong-Geun;Kim, Shin-Dug
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.12-15
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    • 2020
  • Data access characteristics can directly affect the efficiency of the system execution. This research is to design an accurate predictor by using historical memory access information, where highly accessible data can be migrated from low-speed storage (SSD/HHD) to high-speed memory (Memory/CPU Cache) in advance, thereby reducing data access latency and further improving overall performance. For this goal, we design a locally weighted linear regression prefetch scheme to cope with irregular access patterns in large graph processing applications for a DARM-PCM hybrid memory structure. By analyzing the testing result, the appropriate structural parameters can be selected, which greatly improves the cache prefetching performance, resulting in overall performance improvement.

An Abstract Grammar for XML Document Editing (XML 문서 편집을 위한 추상문법)

  • 신경희;최종명;유재우
    • Journal of KIISE:Software and Applications
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    • v.30 no.3_4
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    • pp.268-277
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    • 2003
  • A document type definition(DTD) which defines tags for a document is a XML document grammar that defines syntactic structure of a document. An XML document keeps the rules and must be parsed to check validation. To parse XML document, the deterministic parsing method of programming language is irrelevant because it does not satisfy the definition of deterministic content model in element declaration. In this paper, we consider editing of a valid XML document in syntax-directed editing environment, and we suggest the internal storage representations of syntax in DTD and theirs algorithms. The consequence is that a syntactic structure of textual DTD is transformed into graph and table structures. The table structure of DTD is interpreted the context free grammar which has attribute values and is used in syntax-directed editor for XML. We called this the XML abstract grammar and showed generated results and examples.

A Dynamic Path Computation Database Model in Mobile LBS System (모바일 LBS 시스템에서 동적 경로 계산 데이터베이스 모델)

  • Joo, Yong-Jin
    • Spatial Information Research
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    • v.19 no.3
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    • pp.43-52
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    • 2011
  • Recently, interest in location-based service (LBS) which utilizes a DBMS in mobile system environment has been increasing, and it is expected to overcome the existing file-based system's limitation in advanced in-vehicle system by utilizing DBMS's advantages such as efficient storage, transaction management, modelling and spatial queries etc. In particular, the road network data corresponds to the most essential domain in a route planning system, which needs efficient management and maintenance. Accordingly, this study aims to develop an efficient graph-based geodata model for topological network data and to support dynamic path computation algorithm based on heuristic approach in mobile LBS system. To achieve this goal, we design a data model for supporting the hierarchy of network, and implement a path planning system to evaluate its performance in mobile LBS system. Last but not least, we find out that the designed path computation algorithm with hierarchical graph model reduced the number of nodes used for finding and improved the efficiency of memory.

Dependent Quantization for Scalable Video Coding

  • Pranantha, Danu;Kim, Mun-Churl;Hahm, Sang-Jin;Lee, Keun-Sik;Park, Keun-Soo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2006.11a
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    • pp.127-132
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    • 2006
  • Quantization in video coding plays an important role in controlling the bit-rate of compressed video bit-streams. It has been used as an important control means to adjust the amount of bit-streams to at]owed bandwidth of delivery networks and storage. Due to the dependent nature of video coding, dependent quantization has been proposed and applied for MPEG-2 video coding to better maintain the quality of reconstructed frame for given constraints of target bit-rate. Since Scalable Video Coding (SVC) being currently standardized exhibits highly dependent coding nature not only between frames but also lower and higher scalability layers where the dependent quantization can be effectively applied, in this paper, we propose a dependent quantization scheme for SVC and compare its performance in visual qualities and bit-rates with the current JSVM reference software for SVC. The proposed technique exploits the frame dependences within each GOP of SVC scalability layers to formulate dependent quantization. We utilize Lagrange optimization, which is widely accepted in R-D (rate-distortion) based optimization, and construct trellis graph to find the optimal cost path in the trellis by minimizing the R-D cost. The optimal cost path in the trellis graph is the optimal set of quantization parameters (QP) for frames within a GOP. In order to reduce the complexity, we employ pruning procedure using monotonicity property in the trellis optimization and cut the frame dependency into one GOP to decrease dependency depth. The optimal Lagrange multiplier that is used for SVC is equal to H.264/AVC which is also used in the mode prediction of the JSVM reference software. The experimental result shows that the dependent quantization outperforms the current JSVM reference software encoder which actually takes a linear increasing QP in temporal scalability layers. The superiority of the dependent quantization is achieved up to 1.25 dB increment in PSNR values and 20% bits saving for the enhancement layer of SVC.

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An Efficient Method for Estimating Optimal Path of Secondary Variable Calculation on CFD Applications (전산유체역학 응용에서의 효율적인 최적 2차 변수 계산 경로 추정 기법)

  • Lee, Joong-Youn;Kim, Min Ah;Hur, Youngju
    • The Journal of the Korea Contents Association
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    • v.16 no.12
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    • pp.1-9
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    • 2016
  • Computational Fluid Dynamics(CFD) is a branch of fluid mechanics that solves partial differential equations which represent fluid flows by a set of algebraic equations using computers. Even though it requires multifarious variables, only selected ones are stored because of the lack of storage capacity. It causes the requirement of secondary variable calculations at analyzing time. In this paper, we suggest an efficient method to estimate optimal calculation paths for secondary variables. First, we suggest a converting technique from a dependency graph to a ordinary directed graph. We also suggest a technique to find the shortest path from any initial variables to target variables. We applied our method to a tool for data analysis and visualization to evaluate the efficiency of the proposed method.